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Vision on Wheels: Looking at Driver, Vehicle, and Surround for On-Road Maneuver Analysis
2014
2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops
Automotive systems provide a unique opportunity for mobile vision technologies to improve road safety by understanding and monitoring the driver. In this work, we propose a real-time framework for early detection of driver maneuvers. The implications of this study would allow for better behavior prediction, and therefore the development of more efficient advanced driver assistance and warning systems. Cues are extracted from an array of sensors observing the driver (head, hand, and foot), the
doi:10.1109/cvprw.2014.33
dblp:conf/cvpr/Ohn-BarTMT14
fatcat:yxvxxehfd5gz7bd2kewwpcvpca